Forecasting Lithium Mine Output Using Satellite Data

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See all articles by Lars Hornuf

Lars Hornuf

Dresden University of Technology

Johannes Klerner

Dresden University of Technology

Denis Schweizer

Concordia University

Daniel Vrankar

Dresden University of Technology; University of Bremen

Date Written: January 09, 2025

Abstract

This article examines whether remote sensed satellite data can predict lithium mine output. We use pixel classification of land cover as a measure for long-term mine expansion and nightly light emissions as a measure for short-term operational activities. We find a strong correlation between satellite data in one period and individual lithium mine production volumes in the following period. Our timely and cost-effective forecasting method of lithium mine production can help decisionmakers in companies that rely on lithium and policy makers who want to ensure adequate lithium supplies in their countries.

Keywords: Remote sensing, Mines, Lithium, Forecasting, Satellite data, Commodities

Suggested Citation

Hornuf, Lars and Klerner, Johannes and Schweizer, Denis and Vrankar, Daniel, Forecasting Lithium Mine Output Using Satellite Data (January 09, 2025). Available at SSRN: https://ssrn.com/abstract=

Lars Hornuf (Contact Author)

Dresden University of Technology ( email )

Dresden, 01307
Germany

HOME PAGE: http://www.hornuf.com

Johannes Klerner

Dresden University of Technology ( email )

Denis Schweizer

Concordia University ( email )

1455 de Maisonneuve Blvd. W.
Montreal, Quebec H3G 1M8
Canada
+1 (514) 848-2424 ext. 2926 (Phone)
+1 (514) 848-4500 (Fax)

HOME PAGE: http://www.concordia.ca/jmsb/faculty/denis-schweizer.html

Daniel Vrankar

Dresden University of Technology ( email )

Einsteinstrasse 3
Dresden, 01062
Germany

University of Bremen ( email )

Universitaetsallee GW I
Bremen, D-28334
Germany

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